Massive datasets and high-capacity models have driven many recent advancements in
computer vision and natural language understanding. This work presents a platform to …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions
at room and building scale. Each scene consists of a dense mesh, high-resolution high …

In the past, knowledge in the fields of Architecture, Engineering and Construction (AEC)
industries mainly come from experiences and are documented in hard copies or specific …

Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …

Abstract We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a
new, large-scale, and compre-hensive repository of synthetic indoor scenes highlighted by …

Humans universally dislike the task of cleaning up a messy room. If machines were to help
us with this task, they must understand human criteria for regular arrangements, such as …

We propose a new probabilistic programming language for the design and analysis of
perception systems, especially those based on machine learning. Specifically, we consider …

We propose a novel data-driven technique for automatically and efficiently generating floor
plans for residential buildings with given boundaries. Central to this method is a two-stage …

Scene understanding is a prerequisite to many high level tasks for any automated intelligent
machine operating in real world environments. Recent attempts with supervised learning …